Improved Baseline Method to Calculate Lost Construction Productivity

Abstract: The measured mile/baseline method has been widely accepted to quantify labor productivity loss, which is demonstrated by comparing the impacted and unimpacted/lightly impacted portions of the work. Although the distinctions between these portions of a project can at times be identified through a cause and effect analysis, on many projects this distinction is not readily observable. For those projects, researchers and professionals have developed various procedures to implement the measured mile/baseline calculations, but shortcomings in those procedures can result in the failure to objectively identify the baseline. In this paper, a method based on basic statistical techniques is proposed to determine a baseline that represents the contractor’s normal operating performance, thus overcoming many of weaknesses in the existing methods. This paper will provide construction professionals and engineers with an objective approach to determine the productivity baseline, thus aiding in the resolution of labor productivity loss claims. Further, this new method avoids the arbitrary baseline sample size and the possibility of multiple competing solutions in existing methods. A numerical example is included to compare the results using different methods and demonstrate the advantages of the proposed method. DOI: 10.1061/(ASCE)CO.1943-7862.0000800. © 2013 American Society of Civil Engineers.

This article, Improved Baseline Method to Calculate Lost Construction Productivity,  by Dr. Tong Zhao, PE, M.ASCE; and J. Mark Dungan appeared in the Journal of Construction Engineering Management, 2014.140.  See our online form to request the report.

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J. Mark Dungan

2011 Delta-CGI Dungan 35 suit-83x123-thumbnailMark Dungan has testified as an expert in delay analyses, damage calculations, loss of productivity, cost estimates, and contract administration matters.  In addition, he holds a Class A contractor’s license and provides consultation on active projects. Mark recently co-authored a peer reviewed article presenting their Improved Baseline Method (IBM) method of calculating inefficiencies.

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